Mutex vs Spinlock
Introduction Concurrency is everywhere inside the Linux kernel. Multiple threads, processes, softirqs, tasklets, and interrupt handlers can access the same shared data simultaneously. Without synchron
Jun 25, 20265 min read
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Building a Worker Pool in F# with MailboxProcessor
Introduction While studying concurrent network programming, I explored how to implement a worker pool in F# using MailboxProcessor, F#'s built-in actor abstraction. The example launches multiple worke
Jun 24, 20263 min read
Understanding Linux Kernel Mutex Synchronization with Kernel Threads
Introduction Concurrency is everywhere inside the Linux kernel. Multiple execution contexts may attempt to access the same data simultaneously, leading to race conditions and corrupted state. In this
Jun 24, 20264 min read
Concurrent Port Scanning in F# with Tasks
Introduction Scanning one TCP port at a time is simple, but it is inefficient. Network operations spend most of their time waiting for remote hosts to respond. Instead of scanning ports sequentially,
Jun 22, 20263 min read
Understanding Mutexes, Concurrency, and Character Device Drivers in Linux Kernel Modules
Introduction Synchronization bugs are among the most difficult issues to debug in kernel-space software. A simple character device driver can become unsafe when multiple processes access shared resour
Jun 22, 20264 min read
Building a Simple Nonconcurrent TCP Port Scanner in F#
Building a Simple Nonconcurrent TCP Port Scanner in F# Port scanning is one of the most fundamental techniques in networking and security. Before diving into high-performance concurrent scanners, it's
Jun 21, 20264 min read
Building a TCP Port Scanner in F#
Introduction One of the best ways to understand TCP networking is by building a simple port scanner. A port scanner attempts to connect to remote TCP ports and determines whether they are available. W
Jun 20, 20266 min read
AI/ML in Linux Kernel Synchronization
Introduction Linux kernel development is traditionally associated with topics such as synchronization, locking, atomicity, interrupt handling, and race condition prevention. Modern cloud infrastructur
Jun 20, 20266 min read
Linux Kernel Synchronization: ISA, Critical Sections, Spinlocks and Atomic Operations
Introduction Writing Linux kernel code is very different from writing user-space applications. The kernel runs with direct access to hardware, supports multiple CPUs, handles interrupts, and manages s
Jun 19, 20265 min read